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Enregistrement W2052425312 · doi:10.1353/rcr.0.0059

Just Here for Littering

2010· article· en· W2052425312 sur OpenAlexaboutno aff
Erin Wisti

Notice bibliographique

RevueRed cedar review · 2010
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueArchitecture, Design, and Social History
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésConversationFace (sociological concept)White (mutation)Visual artsArtArt historyReading (process)AestheticsHistorySociologyLawPhilosophyCommunicationLinguisticsPolitical scienceChemistry

Résumé

récupéré en direct d'OpenAlex

Just Here for Littering Erin Wisti (bio) I wanted to say no. I hated Starbucks. The entire place smelled like it was wrapped in plastic, sealing the customers inside a shell of coffee beans and artificial flavoring. It was free of any conversation that didn't involve the ordering of frappuccinos or mocha lattes. Everyone was plugged into iPods or laptops as they roasted in the far too bright overhead lighting, clattering away on their keyboards and iPhones. Plus, you couldn't use the bathroom without buying something. This always seemed unfriendly. Generally, I tried to avoid the place, but on that day I could not have said no. My mother taught me sick people should always get whatever they want. I had no choice but to take him. He sat across from me at our table, reading a copy of Watchmen. The glossy, yellow and black cover reflected the fluorescent lighting onto his glasses. I called them his "Henry Kissinger glasses" because large frames and thick rims resting on a wrinkled, fifty-one year old nose are always reminiscent of Kissinger. My father's face, square-like with a pronounced nose and untraceable jaw line, also reminded me of Nixon's ancient secretary of state. I studied his face as he read. My choice of book for the day—Fried Green Tomatoes at the Whistle Stop Café—had proved uninspiring and it was clear no conversation was going to take place on our outing. A small beam of white light trickled down the golden frames and swept across the lenses as he turned the book's page. We were at a Barnes and Noble that housed a Starbucks in its center, a common feature of bookstores in the Midwest. We were away in Rochester, Minnesota, the land of romantic imagery. Bright green trees filled with fresh purple lilacs lined the Zumbro River, where slender black and tan Canadian geese floated alongside canoes. These canoes were driven by happy suburban families who looked like they were posing for ads in Eddie Bauer or JC [End Page 68] Penney's, donning new spring clothing in coordinated shades of pastels. I walked down the asphalt path by this river many times that week, puttering behind my father. In his light gray sweat pants which sagged at his crotch, he marched in front of me, taking long, sweeping strides while periodically checking his heart rate. He wore expensive, Nike-brand running shoes, one of the many new toys we bought for him when we found out he was sick. He was quite pleased with how they improved his pace. I, however, wore cheap plastic flip-flops from CVS and waddled behind him and took pictures. I photographed the lilacs and the geese and the suburbanites, the whole time wondering if taking pictures was morbid considering the nature of my visit. I was visiting because he was sick and because he was sick, I had to take him to Starbucks. His phone rang. It had been ringing all morning, even before we left Hope Lodge to get coffee. I wasn't following the conversation closely. It was lawyer talk, a phenomenon I had been familiar with since childhood. He would waltz through the hallway at night in his tattered red robe, barking legal terms into our cordless phone while making his way through a pack of Marlboros. He was always talking to Sammy, his brother and business partner. Sammy relied on my father's help with his cases, which I knew never to ask questions about. I knew most of them were illegal to answer. That day, it was something about a bowling alley, something his brother couldn't handle alone and so, even though he was sick, he took the calls from Sammy's clients. "I gotta go, Chuck," he said, "No. I really gotta go. I'm with my daughter." He sputtered a few rushed goodbyes and then snapped his phone shut and slipped it into the large, floppy pockets of his sweatpants. "Jesus," he muttered. "What?" I asked. "Listen," he said, "Don't ever be a lawyer. Being a lawyer means people expect you to solve all their problems all the...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,446
Score d'incertitude au seuil0,790

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0040,001
Communication savante0,0050,005
Science ouverte0,0010,006
Intégrité de la recherche0,0030,004
Charge utile insuffisante (le modèle a refusé de juger)0,4460,354

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,065
Tête enseignante GPT0,282
Écart entre enseignants0,217 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2010
Routes d'admission1
Résumé présentoui

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